Quantitative and Organizational Approaches to Epistemic Risk in Generative and General-Purpose AI

This extended abstract discusses the three approaches to epistemic risk in general-purpose AI that characterize my research: measurement, design, and transparency.

Authors

Robert Wolfe (ORCID: https://orcid.org/0000-0002-1314-3866)

Institutions

University of Washington (US)

Publication Details

Journal: Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Published: 2025-01-22
DOI: https://doi.org/10.1609/aies.v7i2.31910
Primary Topic: Explainable Artificial Intelligence (XAI)
Type: article
Field-Weighted Citation Impact: 0.00

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article

Quantitative and Organizational Approaches to Epistemic Risk in Generative and General-Purpose AI

Robert Wolfe

Jan 22, 2025

Proceedings of the AAAI/ACM Conference on AI Ethics and Society

Explainable Artificial Intelligence (XAI)

article

Quantitative and Organizational Approaches to Epistemic Risk in Generative and General-Purpose AI

Robert Wolfe

January 22, 2025article en

Abstract

This extended abstract discusses the three approaches to epistemic risk in general-purpose AI that characterize my research: measurement, design, and transparency.

Proceedings of the AAAI/ACM Conference on AI Ethics and SocietyVol. 7(2)

University of Washington (US)

Openalex Percentile: Top 99%

Explainable Artificial Intelligence (XAI)

DOI Open Access PDF OpenAlex

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Quantitative and Organizational Approaches to Epistemic Risk in Generative and General-Purpose AI — Robert Wolfe · Proceedings of the AAAI/ACM Conference on AI Ethics and Society (2025) | TGRS Research Map | TGRS